Abstract
The paper is concerned with the task of building problem solving environment (PSE) for stereology-based modeling applications. Such application involves tools for model creation, stereology-based model verification and model visualization. The application domain has complex and demanding technological requirements, including computationally intensive processing, operating platform heterogeneity and support for scientific collaboration. The natural solution is to take advantage of existing grid infrastructure to tap the computational resources required by the application domain. As the existing scientific grid production infrastructures do not satisfy all the requirements, we had to undertake the challenge of integrating multiple middleware solutions to enable their interoperability required by the PSE. Our results showcase the maturity of available grid solutions, as they can be adapted to support complex and platform dependent tasks.
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Parulek, J., Ciglan, M., Šimo, B., Šrámek, M., Hluchý, L., Zahradník, I. (2007). Grid Problem Solving Environment for Stereology Based Modeling. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2007: CoopIS, DOA, ODBASE, GADA, and IS. OTM 2007. Lecture Notes in Computer Science, vol 4804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76843-2_20
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DOI: https://doi.org/10.1007/978-3-540-76843-2_20
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